Literature DB >> 19297237

Computational tools for designing and engineering biocatalysts.

Jiri Damborsky1, Jan Brezovsky.   

Abstract

Current computational tools to assist experimentalists for the design and engineering of proteins with desired catalytic properties are reviewed. The applications of these tools for de novo design of protein active sites, optimization of substrate access and product exit pathways, redesign of protein-protein interfaces, identification of neutral/advantageous/deleterious mutations in the libraries from directed evolution and stabilization of protein structures are described. Remarkable progress is seen in de novo design of enzymes catalyzing a chemical reaction for which a natural biocatalyst does not exist. Yet, constructed biocatalysts do not match natural enzymes in their efficiency, suggesting that more research is needed to capture all the important features of natural biocatalysts in theoretical designs.

Mesh:

Substances:

Year:  2009        PMID: 19297237     DOI: 10.1016/j.cbpa.2009.02.021

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  24 in total

Review 1.  Biocatalyst development by directed evolution.

Authors:  Meng Wang; Tong Si; Huimin Zhao
Journal:  Bioresour Technol       Date:  2012-01-21       Impact factor: 9.642

Review 2.  Engineering the acyltransferase substrate specificity of assembly line polyketide synthases.

Authors:  Briana J Dunn; Chaitan Khosla
Journal:  J R Soc Interface       Date:  2013-05-29       Impact factor: 4.118

Review 3.  Directed evolution drives the next generation of biocatalysts.

Authors:  Nicholas J Turner
Journal:  Nat Chem Biol       Date:  2009-08       Impact factor: 15.040

4.  Computational design of an endo-1,4-beta-xylanase ligand binding site.

Authors:  Andrew Morin; Kristian W Kaufmann; Carie Fortenberry; Joel M Harp; Laura S Mizoue; Jens Meiler
Journal:  Protein Eng Des Sel       Date:  2011-02-24       Impact factor: 1.650

5.  Machine learning assisted design of highly active peptides for drug discovery.

Authors:  Sébastien Giguère; François Laviolette; Mario Marchand; Denise Tremblay; Sylvain Moineau; Xinxia Liang; Éric Biron; Jacques Corbeil
Journal:  PLoS Comput Biol       Date:  2015-04-07       Impact factor: 4.475

6.  Design and directed evolution of a dideoxy purine nucleoside phosphorylase.

Authors:  David P Nannemann; Kristian W Kaufmann; Jens Meiler; Brian O Bachmann
Journal:  Protein Eng Des Sel       Date:  2010-06-04       Impact factor: 1.650

Review 7.  Beyond directed evolution--semi-rational protein engineering and design.

Authors:  Stefan Lutz
Journal:  Curr Opin Biotechnol       Date:  2010-09-24       Impact factor: 9.740

8.  Enzymes in food processing: a condensed overview on strategies for better biocatalysts.

Authors:  Pedro Fernandes
Journal:  Enzyme Res       Date:  2010-09-29

9.  Minimalist de novo Design of Protein Catalysts.

Authors:  Liam R Marshall; Oleksii Zozulia; Zsofia Lengyel-Zhand; Ivan V Korendovych
Journal:  ACS Catal       Date:  2019-09-13       Impact factor: 13.084

10.  HotSpot Wizard: a web server for identification of hot spots in protein engineering.

Authors:  Antonin Pavelka; Eva Chovancova; Jiri Damborsky
Journal:  Nucleic Acids Res       Date:  2009-05-21       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.